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Machine Learning for the Citizen Data Scientist

In this two-day course the basic concepts of Machine Learning for citizen data science are introduced. A number of tools are introduced that can be used to create and deploy ML models without a lot of Machine Learning or coding knowledge in Microsoft Azure. Azure Machine Learning Service allows your models to be created automatically (Automated Machine Learning), or you can create your ML pipelines using a drag-n-drop approach (Designer). Cognitive Services are shown as well. These are AI services and cognitive APIs that you can easily use to build intelligent apps, without the need to have AI knowledge. Finally, you will have a look at the AI features that are available in Power BI, such as built-in AI visuals, and the possibility to use a ML model that you created in Azure Machine Learning or Cognitive services, in Power Query.

Students will get an overview of the tools in Microsoft Azure that can help them creating Machine Learning Models without a lot of ML knowledge and without the need to code. They will learn about the basic concepts in Machine Learning.

Machine Learning uses the data collected by organizations to build models which help in predicting future events. From analyzing sales opportunities up to predicting web server activity: Machine Learning is widely applicable. As the interest for machine learning is growing, the audience that wants to create such models is getting more varied. Business people with an interest in machine learning are known as citizen data scientists.

This course is intended for people who plan on using machine learning without writing code. This can be BI developers as well as data analysts. Also project managers who which to get a better overview of Machine Learning possibilities in Azure can benefit from this course.

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